Functional Mapping of Enhancer Conservation Between Species to Enable Mechanistic Insights into Polygenic Disease

物种间增强子保护的功能图谱,以实现对多基因疾病的机制洞察

基本信息

  • 批准号:
    10294279
  • 负责人:
  • 金额:
    $ 51.92万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-09-20 至 2026-06-30
  • 项目状态:
    未结题

项目摘要

PROJECT SUMMARY Recent advances to characterize cis-regulatory elements (CRE), including massively parallel reporter assays and CRISPR-based screens of non-coding elements, have transformed our ability to comprehensively characterize the non-coding genome at scale. Large scale efforts by us and others through the Encyclopedia of DNA Elements (ENCODE) consortium are now underway to apply these methods genome-wide across many cellular states. The results of these screens will have a transformative impact on our ability to read and write the regulatory grammar of the cell. One direct application will be in the interpretation of causal alleles for human disease risk and other phenotypic traits identified through genome-wide association studies. From these studies we now know the majority of heritability for complex traits resides in non-coding regions of the genome. Until recently it has been difficult to pinpoint individual causal alleles but progress is now being made to identify and elucidate their molecular function. Despite our burgeoning success in understanding how a variant impacts molecular phenotypes (e.g. gene transcription), we lack the ability to systematically evaluate allele(s) within model organisms to understand their impact on physiological function. This disconnect is partially due to our inability to identify the homologous non-coding region to target within model organisms. To aid in modeling human regulatory variation in the mouse, in this project we will develop improved maps of homologous CREs between human and mouse. Current comparative approaches rely on sequence homology and correlative measures of gene expression such as regions of DNase hypersensitivity and chromatin modifications. While these methods have provided valuable insight, they lack direct quantitative measurements of a CRE's impact on individual genes and the location of the cis-regulatory modules (CRMs) within the CREs responsible for activity. To overcome these shortcomings, in this study we will develop maps of CRE conservation based directly on function. To accomplish this, we will differentiate induced pluripotent stem cells (iPSCs) from human and mouse to early developmental states as the starting material for screens of CRE activity. We will use (i) a CRISPR-based screen to endogenously perturb putative CREs important for neuronal and epithelial function; and (ii) CREs with concordant and discordant activity across the two species will then undergo saturation mutagenesis using a massively parallel reporter assay (MPRA). Results from the MPRA will identify CRMs (e.g. TF binding motifs) within each CRE driving regulatory activity of the element. We will use the results from both screens to construct improved maps of CRE conservation that will inform how to copy the effects of genetic variation residing at these regions across species. Doing so will accelerate our progress in moving human disease variants into animal models, thereby allowing us to better understand the pathophysiology of complex diseases in the human population.
项目总结

项目成果

期刊论文数量(0)
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Ryan Tewhey其他文献

Ryan Tewhey的其他文献

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{{ truncateString('Ryan Tewhey', 18)}}的其他基金

Functional Mapping of Enhancer Conservation Between Species to Enable Mechanistic Insights into Polygenic Disease
物种间增强子保护的功能图谱,以实现对多基因疾病的机制洞察
  • 批准号:
    10669233
  • 财政年份:
    2021
  • 资助金额:
    $ 51.92万
  • 项目类别:
Functional Mapping of Enhancer Conservation Between Species to Enable Mechanistic Insights into Polygenic Disease
物种间增强子保护的功能图谱,以实现对多基因疾病的机制洞察
  • 批准号:
    10491357
  • 财政年份:
    2021
  • 资助金额:
    $ 51.92万
  • 项目类别:
Massively Parallel Phenotypic Characterization of Non-coding Genetic Variation
非编码遗传变异的大规模平行表型表征
  • 批准号:
    8976275
  • 财政年份:
    2014
  • 资助金额:
    $ 51.92万
  • 项目类别:

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